文献
J-GLOBAL ID:201902223025510927
整理番号:19A0448621
センサベースの活動認識のための深層学習:調査【JST・京大機械翻訳】
Deep learning for sensor-based activity recognition: A survey
著者 (9件):
Wang Jindong
(Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China)
,
Wang Jindong
(University of Chinese Academy of Sciences, Beijing, China)
,
Chen Yiqiang
(Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China)
,
Chen Yiqiang
(University of Chinese Academy of Sciences, Beijing, China)
,
Hao Shuji
(Institute of High Performance Computing, A*STAR, Singapore)
,
Peng Xiaohui
(Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China)
,
Peng Xiaohui
(University of Chinese Academy of Sciences, Beijing, China)
,
Hu Lisha
(Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China)
,
Hu Lisha
(University of Chinese Academy of Sciences, Beijing, China)
資料名:
Pattern Recognition Letters
(Pattern Recognition Letters)
巻:
119
ページ:
3-11
発行年:
2019年
JST資料番号:
H0913A
ISSN:
0167-8655
資料種別:
逐次刊行物 (A)
記事区分:
短報
発行国:
オランダ (NLD)
言語:
英語 (EN)